Patience is a virtue: A data-driven analysis of rooftop solar PV permitting timelines in the United States

O'Shaughnessy, Eric; Barbose, Galen; Wiser, Ryan

doi:10.1016/j.enpol.2020.111615

Title: Patience is a virtue: A data-driven analysis of rooftop solar PV permitting timelines in the United States

Full Record
Other Related Research

Authors:: O'Shaughnessy, Eric; Barbose, Galen; Wiser, Ryan

Publication Date:: 2020-09-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1632058

Resource Type:: Published Article

Journal Name:: Energy Policy

Additional Journal Information:: Journal Name: Energy Policy Journal Volume: 144 Journal Issue: C; Journal ID: ISSN 0301-4215

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    O'Shaughnessy, Eric, Barbose, Galen, and Wiser, Ryan. Patience is a virtue: A data-driven analysis of rooftop solar PV permitting timelines in the United States.  United Kingdom: N. p., 2020. 
Web.  doi:10.1016/j.enpol.2020.111615.

Copy to clipboard


                    O'Shaughnessy, Eric, Barbose, Galen, & Wiser, Ryan. Patience is a virtue: A data-driven analysis of rooftop solar PV permitting timelines in the United States.  United Kingdom.  https://doi.org/10.1016/j.enpol.2020.111615

Copy to clipboard


                    O'Shaughnessy, Eric, Barbose, Galen, and Wiser, Ryan. Tue .  
"Patience is a virtue: A data-driven analysis of rooftop solar PV permitting timelines in the United States".  United Kingdom.  https://doi.org/10.1016/j.enpol.2020.111615.

Copy to clipboard


                    
@article{osti_1632058,

  title        = {Patience is a virtue: A data-driven analysis of rooftop solar PV permitting timelines in the United States},

  author       = {O'Shaughnessy, Eric and Barbose, Galen and Wiser, Ryan},

  abstractNote = {},

  doi          = {10.1016/j.enpol.2020.111615},

  journal      = {Energy Policy},

  number       = C,

  volume       = 144,

  place        = {United Kingdom},

  year         = {2020},

  month        = {9}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Publisher's Version of Record
https://doi.org/10.1016/j.enpol.2020.111615

Other availability

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Patience is a virtue: A data-driven analysis of rooftop solar PV permitting timelines in the United States

Journal Article O'Shaughnessy, E ; Barbose, G ; Wiser, R

© 2020 The Authors Local permitting can ensure the safe installation and operation of rooftop solar photovoltaic (PV) systems. At the same time, burdensome local permitting processes and local variation in requirements may pose challenges to PV deployment. In this article, we explore new data on the durations between key steps in the PV permitting process in the United States. The data suggest that a typical customer can expect to wait around 25–100 days from permit application until an installed system passes inspection. Permit durations vary significantly across jurisdictions, due in part to differences in local permitting policies. However, permitmore »« less
https://doi.org/10.1016/j.enpol.2020.111615
Autoinspection and Permitting With a PV Utility Interface (PUI) for Residential Plug-and-Play Solar Photovoltaic Unit

Journal Article Khan, Md Tanvir Arafat ; Norris, Gregory ; Chattopadhyay, Ritwik ; ... - IEEE Transactions on Industry Applications

Not provided.
https://doi.org/10.1109/tia.2016.2631135
Variability analysis and cycling impacts of solar PV in the southwest United States.

Conference Hansen, Clifford W. ; Touhy, Aidan ; Lannoye, Eamonn ; ...

Abstract not provided.
Full Text Available
Rooftop Solar Photovoltaic Technical Potential in the United States

Conference Gagnon, Pieter ; Margolis, Robert ; Melius, Jennifer ; ...

How much energy could we generate if PV modules were installed on all of the suitable roof area in the nation? To answer this question, we first use GIS methods to process a lidar dataset and determine the amount of roof area that is suitable for PV deployment in 128 cities nationwide, containing 23% of U.S. buildings, and provide PV-generation results for a subset of those cities. We then extend the insights from that analysis to the entire continental United States. We develop two statistical models -- one for small buildings and one for medium and large buildings -- andmore »« less
Full Text Available
More alike than different: Profiles of high-income and low-income rooftop solar adopters in the United States

Journal Article Wolske, Kimberly S. - Energy Research and Social Science
https://doi.org/10.1016/j.erss.2019.101399

Similar Records